nvprof --query-metrics | grep flop flops_sp: Number of single-precision floating-point operations executed by non-predicated threads (add, multiply, multiply-accumulate and special) flops_sp_add: Number of single-precision floating-point add operations executed by non-predicated threads flops_sp_mu...
It appears you're trying to profile the YOLOv8 model to obtain the FLOPs and parameters usingthop, but you're encountering an error due to the attributetrainingnot being directly accessible in the YOLO model class. To resolve the issue mentioned, one potential way is to directly access the ...
Maximum FLOPS the maximum FLOP of a GPU can be found out by the following fomula: maximum_flop = CUDA_core_number * clock_speed *2 let's take RTX3070 as example. RTX3070 has two types of clock speed: base clock speed: 1500MHz boost clock speed: 1725 MHz and RTX3070 has 5888 cuda ...
GPU flops32 is the number of FP32 instructions GPU executes per second while it is active. I follow Greg Smith's suggestion (How to calculate Gflops of a kernel) and find that it is very slow for nvprof to generate flop_count_sp_* metrics. So there are two questions that I want to ...
How to calculate layer output img size? for example #Input size : 640 #use model : yolov5l -> layer No.17 output size is 80 (detect layer 1 640/8) layer No.20 output size is 40 (detect layer 2 640/16) Because i want to add new custom detect layer for detect small object. I...
Obviously you can use this for coin mining. But it would be nice to use all the 3 millions GPU out there (0.24% world power consumption) for an estimation (mine) of 10 EFlops to solve medical projects. They would finish all the GPUgrid and FOLDING tasks in a few weeks. ...
The NVIDIA Jetson Nano packs 472GFLOPS of computational horsepower. While it is a very capable machine, configuring it is not (complex machines are typically not easy to configure). In this tutorial, we’ll work through 16 steps to configure your Jetson Nano for computer vision...
Would it make sense to use "N*sizeof(float)" rather than "N*4" for the bandwidth calculation? Continue the discussion atforums.developer.nvidia.com 15 more replies Participants How to Optimize Data Transfers in CUDA C/C++ How to Optimize Data Transfers in CUDA Fortran ...
Why should we create such a graph when we can sequentially execute the operations required to compute the output? Imagine, what were to happen, if you didn’t merely have to calculate the output but also train the network. You’ll have to compute the gradients for all the weights labelled...
This value has a resolution of approximately one half microsecond. Memory Bandwidth Now that we have a means of accurately timing kernel execution, we will use it to calculate bandwidth. When evaluating bandwidth efficiency, we use both the theoretical peak bandwidth and the observed or effective ...